R Observatory: Metrics for rFAMS version 0.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rFAMS

0.0.3

Fisheries Analysis and Modeling Simulator

0packages depend

2.9Kdownloads / year

89.4%test coverage

13/13checks pass

Overview

About

Maintained by Jason C. DollFirst published 2026-02-102 releasesCRAN page ↗GitHub ↗

Simulates the dynamics of exploited fish populations using the Jones modification of the Beverton-Holt equilibrium yield equation to compute yield-per-recruit and dynamic pool models (Ricker 1975) https://publications.gc.ca/site/eng/480738/publication.html. Allows users to evaluate minimum, slot, and inverted length limits on exploited fisheries using specified life history parameters. Users can simulate population under a variety of conditional fishing mortality and conditional natural mortality. Calculated quantities include number of fish harvested and dying naturally, mean weight and length of fish harvested, number of fish that reach specified lengths of interest, total number of fish and biomass in the population, and stock density indices.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("rFAMS", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("fishR-Core-Team/rFAMS")

Development version from fishR-Core-Team/rFAMS. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-rfams

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-rFAMS

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-rFAMS

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.7 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 1.09

89.4%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-25
11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 415 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 3%

Downloads

2.9K

CRAN downloads in the past year

Rank #9,668 · ~8/day · ~239/mo

Releases R versions

Daily download trend is not available in this view yet.

18530 days

96990 days

2.9K1 year

Compare downloads with other packages →

Also on49 r2u3 autocran

Repository

GitHub ↗ fishr-core-team/rfams

1Stars

0Forks

5Open issues

0Open PRs

2Releases

238Commits

3Contributors

License GPL-2.0 · 238 commits · Last activity 2026-03-19 · 0% stars, 30d

Stars over time

2026-03-27 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fishr-core-team/rfams on 2026-08-16.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (3)

statspurrr FSA

LinkingTo (0)

none

Suggests (10)

dplyr ggplot2 metR knitr rmarkdown testthat zipfR quarto FSAdata tidyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)

Maintainer (1)

Jason C. Doll

Author, Maintainer

Authors (2)

Jason C. Doll

Author, Maintainer

Derek H. Ogle

Author

Listed in earlier versions (2)

Jason C.

no longer listed · 0.0.2 to 0.0.3

Derek H.

no longer listed · 0.0.2 to 0.0.3

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.0.3Latest
2026-03-17 · current release · diff ↗
0.0.2
2026-03-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-02-10
Total releases: 2 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.1.0
Download size: 128 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rFAMS")

Format

Doll, J. C., & Ogle, D. H. (2026). rFAMS: Fisheries Analysis and Modeling Simulator (Version 0.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.rFAMS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rFAMS version 0.0.3 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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